Quantitative Analyst (Finance)

Use your quantitative finance knowledge to evaluate large language model responses and help improve AI systems.

• Assess model answers about stochastic modeling, derivatives pricing, statistical arbitrage, and risk measurement.
• Create assessment rubrics for options pricing, Monte Carlo simulation, factor models, and backtesting.
• Work with AI researchers and finance experts on training methods, evaluation strategies, and benchmarks.

• Time commitment: 20 or more hours per week.
• The project is expected to last about one month, with a possible extension based on project needs.
• At least 2 years of quantitative finance experience, such as quant trading, quant research, financial engineering, or risk modeling.
• Strong knowledge of stochastic calculus, statistical modeling, and derivatives pricing theory.
• Programming experience in Python, R, or C++, and excellent written English.
• Prior AI training experience is not required.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is human work that helps AI systems learn from examples. Finance specialists use their subject knowledge to assess model answers and create clear standards for evaluating them.